Kaggle

· v1.0.1

High Risk

"Unified Kaggle skill. Use when the user mentions kaggle, kaggle.com, Kaggle competitions, datasets, models, notebooks, GPUs, TPUs, badges, or anything Kaggle-related. Handles account setup, competition reports, dataset/model downloads, notebook execution, competition submissions, badge collection, and general Kaggle questions."

H:4 D:4 A:1 C:1

⚠️ Hazard Flags

EXEC PERSISTENCE FS_READ_WORKSPACE FS_READ_USER FS_WRITE_WORKSPACE FS_WRITE_USER NET_EGRESS_ANY CREDS_ENV CREDS_FILES CREDS_BROWSER PI_WEB

📋 Capabilities

Execution

✅ Shell execution
❌ Code execution
❌ Install dependencies
✅ Persistence
Privilege: user

Filesystem

✅ Read workspace
✅ Write workspace
✅ Read home
✅ Write home
❌ Read system
❌ Delete

Network

Egress: any
❌ Ingress

Credentials

✅ Environment vars
✅ Credential files
✅ Browser data
❌ Keychain

Actions

❌ send messages❌ post public❌ purchase❌ transfer money❌ deploy❌ delete external

🔒 Containment

Level: maximum

Required:

SANDBOX_CONTAINER: Code execution capability

Recommended:

LOG_ACTIONS: Audit trail for all actions

⚡ Risks

Unauthorized tool use: INSTRUCTED_BINARY_INSTALL, TOOL_ABUSE_SYSTEM_MODIFICATION, MCP_SYS_CRITICAL_ACCESS critical

Mitigation: Avoid instructing agents to install arbitrary binaries; bundle dependencies or use sandboxed environments

Command injection risk: COMMAND_INJECTION_EVAL, MCP_SQL_BLIND, TIRITH_DOTFILE_OVERWRITE critical

Mitigation: Avoid eval(), exec(), and compile(). Use safer alternatives like ast.literal_eval()

Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION low

Mitigation: Provide clear, detailed description of skill functionality

Data exfiltration patterns: DATA_EXFIL_ENV_VARS medium

Mitigation: Minimize access to environment variables

Want a deeper analysis?

This report was generated by static analysis. Get an LLM-powered deep review with behavioral reasoning and attack surface mapping.

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🚨 Incident Response

Kill switch: Stop the agent process

Containment: Review logs for unexpected actions

Recovery: Depends on skill capabilities

📄 Raw SSDS JSON click to expand

{
  "meta": {
    "document_id": "ssds:auto:kaggle:1.0.1",
    "ssds_version": "0.2.0",
    "scanner_version": "0.4.0+fe6fd9123d50",
    "created_at": "2026-03-05T03:15:25.990Z",
    "created_by": {
      "agent": "safeagentskills-cli/generate-ssds"
    },
    "language": "en",
    "notes": "Auto-generated SSDS. Manual review recommended."
  },
  "skill": {
    "name": "Kaggle",
    "version": "1.0.1",
    "format": "agent_skill",
    "description": "\"Unified Kaggle skill. Use when the user mentions kaggle, kaggle.com, Kaggle competitions, datasets, models, notebooks, GPUs, TPUs, badges, or anything Kaggle-related. Handles account setup, competition reports, dataset/model downloads, notebook execution, competition submissions, badge collection, and general Kaggle questions.\"",
    "publisher": "unknown",
    "source": {
      "channel": "local"
    },
    "artifact": {
      "sha256": "01a27799244644d242568ec3039727447a82870357ed12cf8db59f54a3674de9",
      "hash_method": "files_sorted"
    }
  },
  "capabilities": {
    "execution": {
      "can_exec_shell": true,
      "can_exec_code": false,
      "privilege_level": "user",
      "can_install_deps": false,
      "can_persist": true
    },
    "filesystem": {
      "reads_workspace": true,
      "reads_user_home": true,
      "reads_system": false,
      "writes_workspace": true,
      "writes_user_home": true,
      "writes_system": false,
      "can_delete": false
    },
    "network": {
      "egress": "any",
      "ingress": false
    },
    "credentials": {
      "reads_env_vars": true,
      "reads_credential_files": true,
      "reads_browser_data": true,
      "reads_keychain": false
    },
    "services": [],
    "actions": {
      "can_send_messages": false,
      "can_post_public": false,
      "can_purchase": false,
      "can_transfer_money": false,
      "can_deploy": false,
      "can_delete_external": false
    },
    "prompt_injection_surfaces": [
      "web"
    ],
    "content_types": [
      "general"
    ]
  },
  "hazards": {
    "hdac": {
      "H": 4,
      "D": 4,
      "A": 1,
      "C": 1
    },
    "flags": [
      "EXEC",
      "PERSISTENCE",
      "FS_READ_WORKSPACE",
      "FS_READ_USER",
      "FS_WRITE_WORKSPACE",
      "FS_WRITE_USER",
      "NET_EGRESS_ANY",
      "CREDS_ENV",
      "CREDS_FILES",
      "CREDS_BROWSER",
      "PI_WEB"
    ],
    "custom_flags": [
      {
        "code": "PERSISTENCE",
        "name": "Persistence Mechanism",
        "description": "Creates scheduled tasks or startup entries in: modules/badge-collector/scripts/phase_5_streaks.py"
      },
      {
        "code": "TOOL_ABUSE",
        "name": "Unauthorized Tool Use",
        "description": "INSTRUCTED_BINARY_INSTALL, TOOL_ABUSE_SYSTEM_MODIFICATION, MCP_SYS_CRITICAL_ACCESS: Instructs agent to install external binary or package"
      },
      {
        "code": "SOCIAL_ENGINEERING",
        "name": "Social Engineering Risk",
        "description": "SOCIAL_ENG_VAGUE_DESCRIPTION: Skill description is too vague or missing"
      },
      {
        "code": "COMMAND_INJECTION",
        "name": "Command Injection Risk",
        "description": "COMMAND_INJECTION_EVAL, MCP_SQL_BLIND, TIRITH_DOTFILE_OVERWRITE: Dangerous code execution functions that can execute arbitrary code"
      },
      {
        "code": "DATA_EXFILTRATION",
        "name": "Data Exfiltration Risk",
        "description": "DATA_EXFIL_ENV_VARS: Reading environment variables that may contain secrets"
      }
    ],
    "confidence": {
      "level": "medium",
      "basis": [
        "static_analysis"
      ],
      "notes": "Detected 5 security patterns (31 vendored rule hits). Review recommended."
    },
    "rationale": {
      "H": "H4: Critical: Privilege escalation or malware detected",
      "D": "D4: Critical: Credential theft or data exfiltration",
      "A": "A1: Local side effects only",
      "C": "C1: General content"
    }
  },
  "containment": {
    "level": "maximum",
    "required": [
      {
        "control": "SANDBOX_CONTAINER",
        "reason": "Code execution capability"
      }
    ],
    "recommended": [
      {
        "control": "LOG_ACTIONS",
        "reason": "Audit trail for all actions"
      }
    ],
    "uncontained_risk": "Risk level depends on manual review of actual capabilities."
  },
  "risks": {
    "risks": [
      {
        "risk": "Unauthorized tool use: INSTRUCTED_BINARY_INSTALL, TOOL_ABUSE_SYSTEM_MODIFICATION, MCP_SYS_CRITICAL_ACCESS",
        "severity": "critical",
        "mitigation": "Avoid instructing agents to install arbitrary binaries; bundle dependencies or use sandboxed environments"
      },
      {
        "risk": "Command injection risk: COMMAND_INJECTION_EVAL, MCP_SQL_BLIND, TIRITH_DOTFILE_OVERWRITE",
        "severity": "critical",
        "mitigation": "Avoid eval(), exec(), and compile(). Use safer alternatives like ast.literal_eval()"
      },
      {
        "risk": "Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION",
        "severity": "low",
        "mitigation": "Provide clear, detailed description of skill functionality"
      },
      {
        "risk": "Data exfiltration patterns: DATA_EXFIL_ENV_VARS",
        "severity": "medium",
        "mitigation": "Minimize access to environment variables"
      }
    ],
    "limitations": [
      "Static analysis only - runtime behavior not verified"
    ]
  },
  "incident_response": {
    "kill_switch": [
      "Stop the agent process"
    ],
    "containment": [
      "Review logs for unexpected actions"
    ],
    "recovery": [
      "Depends on skill capabilities"
    ]
  },
  "evidence": [
    {
      "evidence_id": "EV:file-1",
      "type": "file_excerpt",
      "title": "modules/badge-collector/README.md",
      "file_path": "modules/badge-collector/README.md"
    },
    {
      "evidence_id": "EV:file-2",
      "type": "file_excerpt",
      "title": "modules/badge-collector/scripts/badge_registry.py",
      "file_path": "modules/badge-collector/scripts/badge_registry.py"
    },
    {
      "evidence_id": "EV:file-3",
      "type": "file_excerpt",
      "title": "modules/badge-collector/scripts/badge_tracker.py",
      "file_path": "modules/badge-collector/scripts/badge_tracker.py"
    },
    {
      "evidence_id": "EV:file-4",
      "type": "file_excerpt",
      "title": "modules/badge-collector/scripts/orchestrator.py",
      "file_path": "modules/badge-collector/scripts/orchestrator.py"
    },
    {
      "evidence_id": "EV:file-5",
      "type": "file_excerpt",
      "title": "modules/badge-collector/scripts/phase_1_instant_api.py",
      "file_path": "modules/badge-collector/scripts/phase_1_instant_api.py"
    },
    {
      "evidence_id": "EV:file-6",
      "type": "file_excerpt",
      "title": "modules/badge-collector/scripts/phase_2_competition.py",
      "file_path": "modules/badge-collector/scripts/phase_2_competition.py"
    },
    {
      "evidence_id": "EV:file-7",
      "type": "file_excerpt",
      "title": "modules/badge-collector/scripts/phase_3_pipeline.py",
      "file_path": "modules/badge-collector/scripts/phase_3_pipeline.py"
    },
    {
      "evidence_id": "EV:file-8",
      "type": "file_excerpt",
      "title": "modules/badge-collector/scripts/phase_4_browser.py",
      "file_path": "modules/badge-collector/scripts/phase_4_browser.py"
    },
    {
      "evidence_id": "EV:file-9",
      "type": "file_excerpt",
      "title": "modules/badge-collector/scripts/phase_5_streaks.py",
      "file_path": "modules/badge-collector/scripts/phase_5_streaks.py"
    },
    {
      "evidence_id": "EV:file-10",
      "type": "file_excerpt",
      "title": "modules/badge-collector/scripts/templates/utility_script.py",
      "file_path": "modules/badge-collector/scripts/templates/utility_script.py"
    },
    {
      "evidence_id": "EV:cisco-1",
      "type": "file_excerpt",
      "title": "INSTRUCTED_BINARY_INSTALL [HIGH] modules/badge-collector/README.md:40: - `pip install kagglehub kaggle requests`",
      "file_path": "modules/badge-collector/README.md"
    },
    {
      "evidence_id": "EV:cisco-2",
      "type": "file_excerpt",
      "title": "COMMAND_INJECTION_EVAL [CRITICAL] modules/badge-collector/scripts/orchestrator.py:57: module = __import__(f\"phase_{phase}_{'instant_api' if phase == 1 else ['', 'inst",
      "file_path": "modules/badge-collector/scripts/orchestrator.py"
    },
    {
      "evidence_id": "EV:cisco-3",
      "type": "file_excerpt",
      "title": "MCP_SQL_BLIND [HIGH] modules/badge-collector/scripts/phase_1_instant_api.py:564: time.sleep(API_DELAY)",
      "file_path": "modules/badge-collector/scripts/phase_1_instant_api.py"
    },
    {
      "evidence_id": "EV:cisco-4",
      "type": "file_excerpt",
      "title": "MCP_SQL_BLIND [HIGH] modules/badge-collector/scripts/phase_3_pipeline.py:43: time.sleep(interval)",
      "file_path": "modules/badge-collector/scripts/phase_3_pipeline.py"
    },
    {
      "evidence_id": "EV:cisco-5",
      "type": "file_excerpt",
      "title": "DATA_EXFIL_ENV_VARS [MEDIUM] modules/badge-collector/scripts/phase_4_browser.py:30: key = os.getenv(\"KAGGLE_KEY\", \"\")",
      "file_path": "modules/badge-collector/scripts/phase_4_browser.py"
    },
    {
      "evidence_id": "EV:cisco-6",
      "type": "file_excerpt",
      "title": "MCP_SQL_BLIND [HIGH] modules/badge-collector/scripts/phase_4_browser.py:88: time.sleep(2)",
      "file_path": "modules/badge-collector/scripts/phase_4_browser.py"
    },
    {
      "evidence_id": "EV:cisco-7",
      "type": "file_excerpt",
      "title": "DATA_EXFIL_ENV_VARS [MEDIUM] modules/badge-collector/scripts/utils.py:89: if os.getenv(\"KAGGLE_API_TOKEN\"):",
      "file_path": "modules/badge-collector/scripts/utils.py"
    },
    {
      "evidence_id": "EV:cisco-8",
      "type": "file_excerpt",
      "title": "MCP_SQL_BLIND [HIGH] modules/badge-collector/scripts/utils.py:66: time.sleep(API_DELAY)",
      "file_path": "modules/badge-collector/scripts/utils.py"
    },
    {
      "evidence_id": "EV:cisco-9",
      "type": "file_excerpt",
      "title": "INSTRUCTED_BINARY_INSTALL [HIGH] modules/comp-report/README.md:119: - `pip install kaggle requests`",
      "file_path": "modules/comp-report/README.md"
    },
    {
      "evidence_id": "EV:cisco-10",
      "type": "file_excerpt",
      "title": "DATA_EXFIL_ENV_VARS [MEDIUM] modules/comp-report/scripts/utils.py:57: if not (os.getenv(\"KAGGLE_USERNAME\") and os.getenv(\"KAGGLE_KEY\")):",
      "file_path": "modules/comp-report/scripts/utils.py"
    }
  ]
}